US8357090B2 - Method and apparatus for estimating water reserves - Google Patents

Method and apparatus for estimating water reserves Download PDF

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US8357090B2
US8357090B2 US11/716,778 US71677807A US8357090B2 US 8357090 B2 US8357090 B2 US 8357090B2 US 71677807 A US71677807 A US 71677807A US 8357090 B2 US8357090 B2 US 8357090B2
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sensor
water
skin
skin thickness
emitter
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Clark R. Baker
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Covidien LP
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Priority to PCT/US2008/003013 priority patent/WO2008112134A1/en
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/44Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
    • A61B5/441Skin evaluation, e.g. for skin disorder diagnosis
    • A61B5/443Evaluating skin constituents, e.g. elastin, melanin, water
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0075Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1075Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/44Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
    • A61B5/441Skin evaluation, e.g. for skin disorder diagnosis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4869Determining body composition
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08Detecting organic movements or changes, e.g. tumours, cysts, swellings
    • A61B8/0858Detecting organic movements or changes, e.g. tumours, cysts, swellings involving measuring tissue layers, e.g. skin, interfaces

Definitions

  • the present invention relates generally to determining physiological parameters and, more particularly, to estimating water reserves.
  • a method for determining a water reserve index comprises determining a lean water fraction of tissue and skin thickness for at least one site. The method also comprises combining the lean water fraction and skin thickness to produce a water reserve estimate.
  • a method for determining skin thickness comprises emitting electromagnetic radiation from a sensor at an individual's skin and detecting the emitted electromagnetic radiation after it has been scattered and absorbed by constituents of the skin.
  • the method also comprises determining the prominence of spectral features corresponding to a subcutaneous fat layer, wherein the prominence of spectral features indicates skin thickness.
  • a system for determining a water reserve index includes a sensor comprising an emitter configured to emit near-infrared light and a detector configured to detect the emitted light and generate a signal representative of the detected light.
  • the system also including a monitor communicatively coupled to the sensor and configured to receive the generated signal.
  • the monitor comprising a microprocessor configured to calculate a lean water fraction based on the received signal.
  • the microprocessor further configured to combine the lean water fraction with a skin thickness value to determine a water reserve index.
  • the monitor also comprising a display configured to display the determined water reserve index to the user.
  • FIG. 1 illustrates a system for determining hydration in accordance with an exemplary embodiment of the present invention
  • FIG. 2 illustrates a cross-sectional view of a sensor of the system of FIG. 1 in accordance with an exemplary embodiment of the present invention
  • FIG. 3 illustrates a plot of euhydrated skin showing lipid (fat) peaks at 1210 nm, 1725 nm, and 1765 nm;
  • FIG. 4 illustrates a plot of the euhydrated skin of FIG. 3 and plot showing reduction of the lipid peaks as an effect of overhydration
  • FIG. 5 illustrates a technique for determining a hydration index based on an estimate of the fraction of water in the skin and skin thickness, in accordance with an exemplary embodiment of the present invention.
  • a system and method for estimating an individual's water reserves.
  • the technique includes determining a water reserve index based on two factors: an estimate of the lean water fraction and the thickness of the skin.
  • the two factors may be used to produce a water reserve index indicative of the amount of water reserves an individual has available in the form of skin cell hydration.
  • the water reserve index may be measured relative to a level of skin hydration clinically determined to be indicative of a dehydrated state. Accordingly, the water reserve index may be indicative of an amount of water above or below the dehydrated level.
  • the system 10 includes a sensor 12 coupled with a monitor 14 via a cable 16 .
  • the system may also include an input device, such as a keyboard 18 and an output device, such as a display 20 .
  • the keyboard 18 may be configured to allow a user, such as a clinician, to enter various parameters or baseline hydration levels, as will be discussed below.
  • the display 20 may be configured to display a lean water fraction, a skin thickness, and/or a water reserve index measurement among other things.
  • the sensor 12 is configured to contact an individual's skin 22 on a site where measurements are to be taken.
  • a cross sectional view of the sensor 12 is shown in FIG. 2 to illustrate that the sensor 12 may include at least one emitter 24 and at least one detector 26 component parts of the sensor 12 .
  • the emitter 24 and the detector 26 are located on a substantially flat surface of the sensor 12 so that they may optically couple with an individual's skin 22 .
  • the emitter 24 may include one or more electromagnetic radiation sources or light sources, such as light emitting diodes (LEDs), an array of LEDs, a white light source, a tunable laser, or any other source that transmits electromagnetic radiation within a region of the electromagnetic spectrum useful for the determination of physiological parameters.
  • electromagnetic radiation sources or light sources such as light emitting diodes (LEDs), an array of LEDs, a white light source, a tunable laser, or any other source that transmits electromagnetic radiation within a region of the electromagnetic spectrum useful for the determination of physiological parameters.
  • the near-infrared region (NIR) of the electromagnetic spectrum is particularly useful in measuring relative concentrations of tissue constituents for the determination of skin thickness and water content.
  • NIR near-infrared region
  • the detector 26 may be a photosensitive diode, photosensitive transistor or other means for detecting electromagnetic radiation within the range of the electromagnetic spectrum of the emitter 24 .
  • the detector 26 is configured to detect electromagnetic radiation originating from the emitter 24 after it has passed through a patient's skin and been absorbed and/or scattered by the constituent parts of the tissue.
  • the sensor 12 may be a reflection-type sensor, as illustrated in FIG. 1 , where the emitter 24 and detector 26 are substantially in the same plane and spaced 1-5 mm apart, or a transmission-type sensor, where the emitter 24 and detector 26 are placed on substantially opposite sides of the tissue site. More specifically, because the detector 26 is in the same plane as the emitter 24 in the reflectance-type sensor, the detector 26 detects light that has been reflected and/or scattered by the tissue. In contrast, in a transmission-type sensor, the sensor's emitter and detector lie in parallel planes on opposing sides of the tissue.
  • the optical path of the light originating from an emitter in a transmission-type sensor is substantially in-line with an imaginary axis connecting the emitter and the detector, and the detector detects light that has been transmitted through the tissue along the optical path.
  • NIR near-infrared
  • the spectral absorption bandwidth may be used to estimate tissue constituent concentration and, more specifically, water content of tissue, as disclosed in U.S. patent application Ser. No. 11/528,154 which is also incorporated by reference.
  • the lean water fraction may generally be described as a ratio of the water-to-protein in the tissue. Protein content may be challenging to estimate because it comprises a class of thousands of different molecules and many of the absorption peaks in the protein spectrum are close to absorption peaks for fat. Water, however, is generally the most prominent absorber in the NIR spectrum. The absorption spectrum of water varies primarily with the degree of hydrogen bonding between water and/or other polar molecules, but most of this variation may be correlated with temperature, which can be easily measured. The lean water fraction may be correlated to a whole body hydration index or a local hydration index.
  • skin thickness may be used to estimate an individual's water reserves and provide an index of the individual's water reserves.
  • the skin may be a major reservoir of water for the body.
  • thicker skin indicates the body has the capacity for storing more water and thinner skin indicates the body has the capacity for storing less water.
  • the skin thickness may be used in conjunction with other methods for determining hydration levels to estimate an individual's water reserves.
  • Skin thickness may be measured by any of a number of suitable techniques.
  • skin thickness may be measured by spectroscopic means.
  • a subcutaneous fat layer can be seen in spectroscopic analysis of the human skin and mammalian skin, in general.
  • FIG. 3 experiments on euhydrated porcine models show that the subcutaneous fat layer is readily visible as lipid peaks at 1210 nm, 1725 nm, and 1765 nm.
  • Sensors configured to have 2.5 mm emitter-detector spacing were using to produce the plots of FIGS. 3 and 4 . It is estimated that the mean photon penetration depth is around 1 mm with the 2.5 mm spacing.
  • fat accounts for about 20-30 percent of the total tissue traversed by near-infrared photons in piglets. It can be estimated that fat will account for a somewhat lower percentage in adult humans.
  • FIG. 4 a plot of overhydrated porcine models superimposed on the plot of the euhydrated porcine model of FIG. 3 is illustrated.
  • the lipid peaks are less prominent when the porcine models are in an overhydrated state.
  • the relative amplitude of the lipid peaks is lessened because the skin thickness has increased as more water is stored in the skin in the overhydrated state.
  • the thicker skin results in less of the near-infrared photons traversing the subcutaneous fat layer before being detected.
  • removal of fluid from the piglets via ultrafiltration causes the fat peaks to become more prominent due to the skin becoming thinner and more of the photons reaching the subcutaneous fat layer.
  • the thickness of the skin therefore, may be determined based on the amplitude of the fat spectrum relative to the other constituents, protein and water, present in the spectrum.
  • the relative amplitude of the lipid features relative to the rest of the spectrum may be indicative of the water content of the skin.
  • the relative amplitude may be determined by analysis of the full spectrum of a tissue site in comparison to the spectra of pure analytes (water, protein, and fat), as discussed in detail in U.S. Ser. No. 11/716,482 filed Mar. 9, 2007 and titled “Method and Apparatus for Spectroscopic Tissue Analyte Measurement,” which is incorporated herein by reference.
  • the relative amplitude of the fat features may be determined using a relatively small number of selected wavelengths, one of which should be absorbed more strongly by fat than water. It has been determined that at least two wavelengths are needed for a reasonable determination of tissue water, so at least three wavelengths may be required to also incorporate an empirical determination of fat relative to water and protein.
  • the relative amplitude of the lipid features in the NIR skin spectra is useful to determine skin thickness in humans.
  • the skin thickness will vary between sites and between individuals, it may be assumed that the subcutaneous fat store is sufficiently thick at most sites to assure that NIR photons will not penetrate below it, and that virtually all the water and protein traversed by the NIR photons will be above the subcutaneous layer.
  • a subcutaneous fat store of 10% of body weight would have a volume of 7800 cm 3 and, therefore, average about 4.3 mm thick.
  • a correlation between the relative amplitude of the lipid features and skin thickness may be made.
  • thinner skin may be indicated by a greater amplitude of the lipid features, including peaks, relative to the other constituents and thicker skin may be indicated by lesser relative amplitude of the lipid features.
  • a correlation factor for correlation between the relative amplitude of lipid features and skin thickness may be empirically determined for specific sites. For example, site specific empirical testing may be performed comparing the relative amplitude of the fat features with water and protein to determine the correlation between the relative amplitude and the skin thickness.
  • Skin thickness may be estimated using high frequency (near 15-20 MHz) ultrasound signals or Harpenden skinfold calipers.
  • the skin thickness estimated by the ultrasound technique may be manually or automatically entered into the system 10 , while a skinfold estimate may be manually entered.
  • the spectroscopic technique for determining skin thickness is based on the amount of light that penetrates to the subcutaneous fat layer and, in a transmission type sensor, all of the detected light passes through all the tissue layers a transmission type sensor is not adapted to make a skin thickness measurement. Accordingly, one of the above mentioned, techniques for determining skin thickness may be implemented when a transmission type sensor is used.
  • FIG. 5 is a flow chart illustrating a technique 40 for analyzing these two factors to determine a water reserve index.
  • the technique 40 includes estimating a lean water fraction value, as indicated at block 42 .
  • the lean water fraction estimation may be performed spectroscopically by one of the above mentioned techniques.
  • the system 10 of FIG. 1 may be configured to determine a lean water fraction in accordance with known algorithms.
  • the technique 40 also includes estimating a skin thickness value, as indicated at block 44 .
  • the skin thickness value may be performed in accordance with any one of the above mentioned methods, including spectroscopic, ultrasound, or caliper means. If, for example, the skin thickness is determined spectroscopically, the system 10 may be configured to determine both the lean water fraction value and the skin thickness value in addition to determining the water reserve index, as will be explained below. As described above, if the skin thickness measurement is made spectroscopically, at least three discrete wavelengths may be used, including one at which electromagnetic radiation is absorbed more by fat than by water.
  • the computed water reserve index is indicative of the amount of water in the body and may be correlated to a clinically determined dehydrated condition.
  • a water reserve index value may be empirically determined for a clinically dehydrated state.
  • the computed water reserve index may use the clinically determined dehydrated water reserve index value as a baseline for determining the amount of water reserves above the dehydrated state.
  • skin thickness and hydration values may vary based on the site at which the sensor 12 is taking measurements.
  • the proposed hydration index may be site specific.
  • Several means of indicating a skin site are known in the art and may include incorporating an electronic ID chip into sensor design for a specific site.
  • One technique is disclosed in U.S. Ser. No. 11/716,264, filed Mar. 9, 2007 and titled “Method for Identification of Sensor Site by Local Skin Spectrum Data,” which is incorporated herein by reference.
  • a particular sensor may be designed for use on a particular site, such as the forehead, for example, and it may contain an ID chip indicating that it is taking measurements from that particular site.
  • the monitor 14 FIG.
  • the monitor 14 may also have a keyboard 18 , or other input device, through which a user may communicate location detail to the monitor 14 .
  • the monitor 14 may provide a display 20 that allows the user to indicate the sensor 12 location.
  • the monitor 14 may calibrate itself accordingly to increase the accuracy of the system 10 .
  • the monitor 14 may be configured to select appropriate coefficients or constants to be used in the algorithms to compensate for any location specific variation in skin thickness and/or hydration. Appropriate coefficients or constants associated with the determination of the lean water fraction, skin thickness, and/or water reserve index may be determined empirically based on clinical studies.
  • the monitor 14 may be configured to allow a user, such as a clinician, to input baseline hydration levels for a particular site or, via the keyboard 18 . Specifically, for example, a user may enter the clinically determined dehydration values against which the computed water reserve index can be compared to determine if a patient is in a dehydrated or over hydrated state.
  • the skin thickness measurement may, therefore, be adjusted for the elevation of the sensor site relative to the heart. Because the elevation dependent hydration changes occur primarily in the interstitial compartment, the elevation based adjustments may reflect the average elevation differences from the heart over the approximate equilibration time of the interstitial compartment, which may take tens of minutes.
  • means of determining elevation changes relative to the heart might include settings on the surgical table or hospital bed, a camera, a small tube with fluid and a pressure sensor at one end.
  • a water probe location sensor may include one or more mechanical linkages, such as, e.g., an arm with a joint, that attaches to a probe. In these cases, the position and/or orientation of a probe may be ascertained from the length of the arm, the angle of its joint, and/or the position of the subject.
  • Remote water probe location sensors may also provide location information relative to the subject's body, such as, e.g., where a sensor uses optical and/or ultrasound emitters (e.g., on the probe, subject, and/or hospital bed) and detectors (e.g., on the sensor).
  • a sensor may include a video camera and/or may use object recognition image processing software to detect probe location and/or tissue site position, orientation, and/or elevation.
  • a sensor may also receive signals from one or more small piezoelectric vibratory gyroscopes located in a probe. These may be the same types of gyroscopes that may be used in automobile navigation systems and may allow detection of probe location information.
  • Other alternative techniques may be implemented and the relative elevation of the sensor may be input to the monitor 14 via the keyboard 18 or the display 20 .
  • the monitor 14 may be configured to use particular coefficients or constants to calibrate for site specific conditions as well as the elevation of the sensor site relative to the heart.
  • the site specific information and the elevation information may be input manually via the keyboard 18 or monitor 20 .
  • the sensor 12 and monitor 14 may be configured to automatically determine the elevation and site specific information.

Abstract

A system and method are provided for a water reserve index. The method includes determining a lean water fraction of tissue for at least one tissue site and determining skin thickness for the at least one tissue site. The lean water fraction and skin thickness are combined to produce a water reserve estimate.

Description

TECHNICAL FIELD
The present invention relates generally to determining physiological parameters and, more particularly, to estimating water reserves.
BACKGROUND
This section is intended to introduce the reader to various aspects of art that may be related to various aspects of the present invention, which are described and/or claimed below. This discussion is believed to be helpful in providing the reader with background information to facilitate a better understanding of the various aspects of the present invention. Accordingly, it should be understood that these statements are to be read in this light, and not as admissions of prior art.
In healthy individuals, homeostatic control mechanisms ensure that a balance between fluid gain and fluid loss is maintained and, therefore, maintaining fluid balance is typically not an issue requiring attention. In ill individuals, however, the maintenance of body fluid balance may be cause for great concern. Dehydration or edema may occur if fluid balance is not properly maintained. For example, dehydration of infants and children suffering from diarrhea and/or vomiting can be life threatening if not recognized and treated promptly. Additionally, many elderly people have an increased risk of dehydration because they have thin, fragile skin, which is a major reservoir of water for the body.
SUMMARY
Certain aspects commensurate in scope with the originally claimed invention are set forth below. It should be understood that these aspects are presented merely to provide the reader with a brief summary of certain forms the invention might take and that these aspects are not intended to limit the scope of the invention. Indeed, the invention may encompass a variety of aspects that may not be set forth below.
In accordance with one aspect of the present invention, there is provided a method for determining a water reserve index. The method comprises determining a lean water fraction of tissue and skin thickness for at least one site. The method also comprises combining the lean water fraction and skin thickness to produce a water reserve estimate.
In accordance with another aspect of the present invention, there is provided a method for determining skin thickness. The method comprises emitting electromagnetic radiation from a sensor at an individual's skin and detecting the emitted electromagnetic radiation after it has been scattered and absorbed by constituents of the skin. The method also comprises determining the prominence of spectral features corresponding to a subcutaneous fat layer, wherein the prominence of spectral features indicates skin thickness.
In accordance with yet another aspect of the present invention, there is provided a system for determining a water reserve index. The system includes a sensor comprising an emitter configured to emit near-infrared light and a detector configured to detect the emitted light and generate a signal representative of the detected light. The system also including a monitor communicatively coupled to the sensor and configured to receive the generated signal. The monitor comprising a microprocessor configured to calculate a lean water fraction based on the received signal. The microprocessor further configured to combine the lean water fraction with a skin thickness value to determine a water reserve index. The monitor also comprising a display configured to display the determined water reserve index to the user.
BRIEF DESCRIPTION OF THE DRAWINGS
Certain exemplary embodiments are described in the following detailed description and in reference to the drawings in which:
FIG. 1 illustrates a system for determining hydration in accordance with an exemplary embodiment of the present invention;
FIG. 2 illustrates a cross-sectional view of a sensor of the system of FIG. 1 in accordance with an exemplary embodiment of the present invention;
FIG. 3 illustrates a plot of euhydrated skin showing lipid (fat) peaks at 1210 nm, 1725 nm, and 1765 nm;
FIG. 4 illustrates a plot of the euhydrated skin of FIG. 3 and plot showing reduction of the lipid peaks as an effect of overhydration; and
FIG. 5 illustrates a technique for determining a hydration index based on an estimate of the fraction of water in the skin and skin thickness, in accordance with an exemplary embodiment of the present invention.
DETAILED DESCRIPTION
One or more specific embodiments of the present invention will be described below. In an effort to provide a concise description of these embodiments, not all features of an actual implementation are described in the specification. It should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another. Moreover, it should be appreciated that such a development effort might be complex and time consuming, but would nevertheless be a routine undertaking of design, fabrication, and manufacture for those of ordinary skill having the benefit of this disclosure.
In accordance with the present technique, a system and method are disclosed for estimating an individual's water reserves. The technique includes determining a water reserve index based on two factors: an estimate of the lean water fraction and the thickness of the skin. The two factors may be used to produce a water reserve index indicative of the amount of water reserves an individual has available in the form of skin cell hydration. The water reserve index may be measured relative to a level of skin hydration clinically determined to be indicative of a dehydrated state. Accordingly, the water reserve index may be indicative of an amount of water above or below the dehydrated level.
Turning to FIG. 1, a system for non-invasively determining physiological parameters is illustrated in accordance with an exemplary embodiment of the present invention and is generally designated by the reference numeral 10. The system 10 includes a sensor 12 coupled with a monitor 14 via a cable 16. The system may also include an input device, such as a keyboard 18 and an output device, such as a display 20. The keyboard 18 may be configured to allow a user, such as a clinician, to enter various parameters or baseline hydration levels, as will be discussed below. The display 20 may be configured to display a lean water fraction, a skin thickness, and/or a water reserve index measurement among other things.
The sensor 12 is configured to contact an individual's skin 22 on a site where measurements are to be taken. A cross sectional view of the sensor 12 is shown in FIG. 2 to illustrate that the sensor 12 may include at least one emitter 24 and at least one detector 26 component parts of the sensor 12. As can be seen, the emitter 24 and the detector 26 are located on a substantially flat surface of the sensor 12 so that they may optically couple with an individual's skin 22.
The emitter 24 may include one or more electromagnetic radiation sources or light sources, such as light emitting diodes (LEDs), an array of LEDs, a white light source, a tunable laser, or any other source that transmits electromagnetic radiation within a region of the electromagnetic spectrum useful for the determination of physiological parameters. Specifically, the near-infrared region (NIR) of the electromagnetic spectrum is particularly useful in measuring relative concentrations of tissue constituents for the determination of skin thickness and water content. In the 1100-1400 nm and 1600-1900 nm regions, water, protein and fat have distinctive absorbance spectra that can be used to determine their relative concentrations. As such, the emitter 24 in this embodiment operates in the NIR range.
The detector 26 may be a photosensitive diode, photosensitive transistor or other means for detecting electromagnetic radiation within the range of the electromagnetic spectrum of the emitter 24. The detector 26 is configured to detect electromagnetic radiation originating from the emitter 24 after it has passed through a patient's skin and been absorbed and/or scattered by the constituent parts of the tissue.
The sensor 12 may be a reflection-type sensor, as illustrated in FIG. 1, where the emitter 24 and detector 26 are substantially in the same plane and spaced 1-5 mm apart, or a transmission-type sensor, where the emitter 24 and detector 26 are placed on substantially opposite sides of the tissue site. More specifically, because the detector 26 is in the same plane as the emitter 24 in the reflectance-type sensor, the detector 26 detects light that has been reflected and/or scattered by the tissue. In contrast, in a transmission-type sensor, the sensor's emitter and detector lie in parallel planes on opposing sides of the tissue. The optical path of the light originating from an emitter in a transmission-type sensor is substantially in-line with an imaginary axis connecting the emitter and the detector, and the detector detects light that has been transmitted through the tissue along the optical path.
Methods for estimating the lean water fraction in the skin by near-infrared (NIR) spectrophotometry have been described in the art and a number of theoretical scattering models have been applied to tissue spectra in order to allow for the estimation of constituent spectra. In particular, methods for measuring the lean water fraction in tissue by NIR spectroscopy are described in U.S. Pat. No. 6,591,122, U.S. Pub. No. 2003-0220548, U.S. Pub. No. 2004-0230106, U.S. Pub. No. 2005-0203357, U.S. Pat. App. No. 60/857,045, U.S. patent application Ser. No. 11/283,506, and U.S. patent application Ser. No. 11/282,947, all of which are incorporated herein by reference. In addition to the methods and algorithms disclosed by the above mentioned patents and applications, the spectral absorption bandwidth may be used to estimate tissue constituent concentration and, more specifically, water content of tissue, as disclosed in U.S. patent application Ser. No. 11/528,154 which is also incorporated by reference.
The lean water fraction may generally be described as a ratio of the water-to-protein in the tissue. Protein content may be challenging to estimate because it comprises a class of thousands of different molecules and many of the absorption peaks in the protein spectrum are close to absorption peaks for fat. Water, however, is generally the most prominent absorber in the NIR spectrum. The absorption spectrum of water varies primarily with the degree of hydrogen bonding between water and/or other polar molecules, but most of this variation may be correlated with temperature, which can be easily measured. The lean water fraction may be correlated to a whole body hydration index or a local hydration index.
In addition to an estimate of the lean water fraction in the skin, as determined by the techniques in the incorporated references for example, skin thickness may be used to estimate an individual's water reserves and provide an index of the individual's water reserves. As mentioned above, the skin may be a major reservoir of water for the body. Generally, thicker skin indicates the body has the capacity for storing more water and thinner skin indicates the body has the capacity for storing less water. As will be discussed in greater detail below, the skin thickness may be used in conjunction with other methods for determining hydration levels to estimate an individual's water reserves.
Skin thickness may be measured by any of a number of suitable techniques. For example, skin thickness may be measured by spectroscopic means. A subcutaneous fat layer can be seen in spectroscopic analysis of the human skin and mammalian skin, in general. As illustrated in FIG. 3, experiments on euhydrated porcine models show that the subcutaneous fat layer is readily visible as lipid peaks at 1210 nm, 1725 nm, and 1765 nm. Sensors configured to have 2.5 mm emitter-detector spacing were using to produce the plots of FIGS. 3 and 4. It is estimated that the mean photon penetration depth is around 1 mm with the 2.5 mm spacing. Based on an evaluation of the plots, fat accounts for about 20-30 percent of the total tissue traversed by near-infrared photons in piglets. It can be estimated that fat will account for a somewhat lower percentage in adult humans.
Turning to FIG. 4, a plot of overhydrated porcine models superimposed on the plot of the euhydrated porcine model of FIG. 3 is illustrated. As can be seen, the lipid peaks are less prominent when the porcine models are in an overhydrated state. The relative amplitude of the lipid peaks is lessened because the skin thickness has increased as more water is stored in the skin in the overhydrated state. The thicker skin results in less of the near-infrared photons traversing the subcutaneous fat layer before being detected. Although not shown in the figures, removal of fluid from the piglets via ultrafiltration causes the fat peaks to become more prominent due to the skin becoming thinner and more of the photons reaching the subcutaneous fat layer. The thickness of the skin, therefore, may be determined based on the amplitude of the fat spectrum relative to the other constituents, protein and water, present in the spectrum.
Specifically, the relative amplitude of the lipid features relative to the rest of the spectrum may be indicative of the water content of the skin. The relative amplitude may be determined by analysis of the full spectrum of a tissue site in comparison to the spectra of pure analytes (water, protein, and fat), as discussed in detail in U.S. Ser. No. 11/716,482 filed Mar. 9, 2007 and titled “Method and Apparatus for Spectroscopic Tissue Analyte Measurement,” which is incorporated herein by reference. Alternatively, the relative amplitude of the fat features may be determined using a relatively small number of selected wavelengths, one of which should be absorbed more strongly by fat than water. It has been determined that at least two wavelengths are needed for a reasonable determination of tissue water, so at least three wavelengths may be required to also incorporate an empirical determination of fat relative to water and protein.
Because humans also have a subcutaneous fat layer, the relative amplitude of the lipid features in the NIR skin spectra is useful to determine skin thickness in humans. Although the skin thickness will vary between sites and between individuals, it may be assumed that the subcutaneous fat store is sufficiently thick at most sites to assure that NIR photons will not penetrate below it, and that virtually all the water and protein traversed by the NIR photons will be above the subcutaneous layer. For example, for a healthy adult male weighing 70 kg and having a total surface area of about 18000 cm2, a subcutaneous fat store of 10% of body weight would have a volume of 7800 cm3 and, therefore, average about 4.3 mm thick. Although the subcutaneous fat layer accounts for a lower percentage of the total tissue traversed by the near-infrared photons in humans than in pigs, a correlation between the relative amplitude of the lipid features and skin thickness may be made. As stated above, thinner skin may be indicated by a greater amplitude of the lipid features, including peaks, relative to the other constituents and thicker skin may be indicated by lesser relative amplitude of the lipid features. A correlation factor for correlation between the relative amplitude of lipid features and skin thickness may be empirically determined for specific sites. For example, site specific empirical testing may be performed comparing the relative amplitude of the fat features with water and protein to determine the correlation between the relative amplitude and the skin thickness.
Multiple alternative means for estimating skin thickness are known and may be implemented. For example, Skin thickness may be estimated using high frequency (near 15-20 MHz) ultrasound signals or Harpenden skinfold calipers. The skin thickness estimated by the ultrasound technique may be manually or automatically entered into the system 10, while a skinfold estimate may be manually entered. Because the spectroscopic technique for determining skin thickness is based on the amount of light that penetrates to the subcutaneous fat layer and, in a transmission type sensor, all of the detected light passes through all the tissue layers a transmission type sensor is not adapted to make a skin thickness measurement. Accordingly, one of the above mentioned, techniques for determining skin thickness may be implemented when a transmission type sensor is used.
Once the thickness of the skin is determined, it can be correlated to a hydration level of the individual based on empirically determined relationships between skin thickness and hydration levels. As mentioned above, a water reserve index may be determined based on the combination of two factors indicative of an individual's hydration level. FIG. 5 is a flow chart illustrating a technique 40 for analyzing these two factors to determine a water reserve index. The technique 40 includes estimating a lean water fraction value, as indicated at block 42. The lean water fraction estimation may be performed spectroscopically by one of the above mentioned techniques. For example, in accordance with an exemplary embodiment, the system 10 of FIG. 1 may be configured to determine a lean water fraction in accordance with known algorithms.
Additionally, the technique 40 also includes estimating a skin thickness value, as indicated at block 44. The skin thickness value may be performed in accordance with any one of the above mentioned methods, including spectroscopic, ultrasound, or caliper means. If, for example, the skin thickness is determined spectroscopically, the system 10 may be configured to determine both the lean water fraction value and the skin thickness value in addition to determining the water reserve index, as will be explained below. As described above, if the skin thickness measurement is made spectroscopically, at least three discrete wavelengths may be used, including one at which electromagnetic radiation is absorbed more by fat than by water.
Once the two factors, the lean water fraction value and the skin thickness value, are determined, the system 10 may combine the values to obtain a water reserve index, as indicated at block 46. For example, a water reserve index might be computed using an equation of the form:
Water Reserve=(Lean Water Fraction−offset)*Skin_Thickness,
where the offset takes into account that some of the water in the skin is tightly bound to proteins inside or outside of cells and cannot readily move around the body. The computed water reserve index is indicative of the amount of water in the body and may be correlated to a clinically determined dehydrated condition. Specifically, a water reserve index value may be empirically determined for a clinically dehydrated state. The computed water reserve index may use the clinically determined dehydrated water reserve index value as a baseline for determining the amount of water reserves above the dehydrated state.
As mentioned above, skin thickness and hydration values may vary based on the site at which the sensor 12 is taking measurements. To the extent that the normal skin thickness or hydration varies between sites, the proposed hydration index may be site specific. Several means of indicating a skin site are known in the art and may include incorporating an electronic ID chip into sensor design for a specific site. One technique is disclosed in U.S. Ser. No. 11/716,264, filed Mar. 9, 2007 and titled “Method for Identification of Sensor Site by Local Skin Spectrum Data,” which is incorporated herein by reference. Additionally, a particular sensor may be designed for use on a particular site, such as the forehead, for example, and it may contain an ID chip indicating that it is taking measurements from that particular site. The monitor 14 (FIG. 1) may also have a keyboard 18, or other input device, through which a user may communicate location detail to the monitor 14. Alternatively, the monitor 14 may provide a display 20 that allows the user to indicate the sensor 12 location. Further, once the monitor 14 knows the location at which measurements are being taken, the monitor 14 may calibrate itself accordingly to increase the accuracy of the system 10. For example, the monitor 14 may be configured to select appropriate coefficients or constants to be used in the algorithms to compensate for any location specific variation in skin thickness and/or hydration. Appropriate coefficients or constants associated with the determination of the lean water fraction, skin thickness, and/or water reserve index may be determined empirically based on clinical studies.
In an alternative embodiment, the monitor 14 may be configured to allow a user, such as a clinician, to input baseline hydration levels for a particular site or, via the keyboard 18. Specifically, for example, a user may enter the clinically determined dehydration values against which the computed water reserve index can be compared to determine if a patient is in a dehydrated or over hydrated state.
Additionally, it is further known that skin thickness increases during the day at sites that typically remain lower than the heart, such as the feet and ankles, as a result of gravitational forces. The skin thickness measurement may, therefore, be adjusted for the elevation of the sensor site relative to the heart. Because the elevation dependent hydration changes occur primarily in the interstitial compartment, the elevation based adjustments may reflect the average elevation differences from the heart over the approximate equilibration time of the interstitial compartment, which may take tens of minutes.
Several techniques that may be implemented for determining the elevation, position and/or orientation of the sensor are discussed in U.S. Pub. No. 20060253016, which is incorporated herein by reference. Specifically, For example, means of determining elevation changes relative to the heart might include settings on the surgical table or hospital bed, a camera, a small tube with fluid and a pressure sensor at one end. In addition, a water probe location sensor may include one or more mechanical linkages, such as, e.g., an arm with a joint, that attaches to a probe. In these cases, the position and/or orientation of a probe may be ascertained from the length of the arm, the angle of its joint, and/or the position of the subject. Remote water probe location sensors may also provide location information relative to the subject's body, such as, e.g., where a sensor uses optical and/or ultrasound emitters (e.g., on the probe, subject, and/or hospital bed) and detectors (e.g., on the sensor). Alternatively, a sensor may include a video camera and/or may use object recognition image processing software to detect probe location and/or tissue site position, orientation, and/or elevation. In yet another example, a sensor may also receive signals from one or more small piezoelectric vibratory gyroscopes located in a probe. These may be the same types of gyroscopes that may be used in automobile navigation systems and may allow detection of probe location information. Other alternative techniques may be implemented and the relative elevation of the sensor may be input to the monitor 14 via the keyboard 18 or the display 20.
Therefore, in computing the skin thickness, the monitor 14 may be configured to use particular coefficients or constants to calibrate for site specific conditions as well as the elevation of the sensor site relative to the heart. As described above, the site specific information and the elevation information may be input manually via the keyboard 18 or monitor 20. Alternatively, the sensor 12 and monitor 14 may be configured to automatically determine the elevation and site specific information.
While the invention may be susceptible to various modifications and alternative forms, specific embodiments have been shown by way of example in the drawings and have been described in detail herein. However, it should be understood that the invention is not intended to be limited to the particular forms disclosed. Indeed, the present techniques may not only be applied to measurements of tissue hydration, but these techniques may also be utilized for the measurement and/or analysis of other analytes. The invention, therefore, is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention as defined by the following appended claims.

Claims (9)

1. A system for determining a water reserve index comprising:
a sensor, the sensor comprising:
an emitter configured to emit near-infrared light;
a detector located between 1 to 5 mm from the emitter configured to detect the emitted light and generate a signal representative of the detected light, wherein the emitter and the detector are configured to optically couple with an individual's skin;
a monitor communicatively coupled to the sensor and configured to receive the generated signal, the monitor comprising:
a microprocessor configured to calculate a lean water fraction based on the received signal, the microprocessor combining the lean water fraction with a skin thickness value to determine a water reserve index; and
a display configured to display the determined water reserve index to the user.
2. The system of claim 1 wherein the microprocessor is configured to compute the skin thickness based on the received signal.
3. The system of claim 1 wherein combining the lean water fraction with skin thickness comprises multiplying the lean water fraction with the skin thickness.
4. The system of claim 1 comprising a keyboard configured to allow a user to input parameters pertinent to the determination of a water reserve index.
5. The system of claim 4 wherein the keyboard is configured to allow a user to input sensor location information.
6. The system of claim 4 wherein keyboard is configured to allow a user to input sensor elevation information.
7. The system of claim 1 wherein the display is configured to allow a user to indicate sensor location information.
8. The system of claim 1 wherein the sensor is configured to the monitor location specific information.
9. The system of claim 1 wherein the emitter is 2.5 mm from the detector.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100245092A1 (en) * 2009-03-26 2010-09-30 Denver Health and Hospital Authority Back Body Orientation|Head of Bed Elevation (HOBE) Device and Alarm
US10206619B1 (en) * 2017-04-28 2019-02-19 Maxim Integrated Products, Inc. Device and method for monitoring body hydration

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8255025B2 (en) * 2006-06-09 2012-08-28 Nellcor Puritan Bennett Llc Bronchial or tracheal tissular water content sensor and system
US8406865B2 (en) * 2008-09-30 2013-03-26 Covidien Lp Bioimpedance system and sensor and technique for using the same
US20120035858A1 (en) * 2009-03-20 2012-02-09 Andreas Caduff Device for electrically measuring at least one parameter of a mammal's tissue
JP2012071056A (en) * 2010-09-29 2012-04-12 Terumo Corp Moisture meter
US20120116236A1 (en) * 2010-11-04 2012-05-10 Joshua Noel Hogan Hydration and blood flow adjusted glucose measurement
US10368794B2 (en) 2014-08-29 2019-08-06 Ecole Polytechnique Federale De Lausanne (Epfl) System for the remote monitoring of the hydration status of a living being
WO2017005628A1 (en) 2015-07-03 2017-01-12 Koninklijke Philips N.V. A light-based sebum and water level measurement system for skin
US10198659B1 (en) * 2016-02-04 2019-02-05 Glenn SPAULDING Diagnostics and imaging
KR102429837B1 (en) * 2016-02-29 2022-08-05 (주)아모레퍼시픽 Evaluation device for tightening of skin and method thereof
US20170261427A1 (en) * 2016-03-14 2017-09-14 Analog Devices, Inc. Optical measurements of chemical content
US11209358B2 (en) 2016-03-14 2021-12-28 Analog Devices, Inc. Blocking specular reflections
US20180276470A1 (en) * 2017-03-23 2018-09-27 Rohde & Schwarz Gmbh & Co. Kg Measuring system and method for displaying a live view of a measurement setup superimposed on measurement results
CN110090003A (en) * 2018-01-31 2019-08-06 罗曦明 Contactless skin monitoring method, apparatus, electronic equipment and storage medium
US20210022663A1 (en) * 2019-07-26 2021-01-28 Viavi Solutions Inc. Hydration assessment using a binary multispectral sensor

Citations (102)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3998550A (en) 1974-10-14 1976-12-21 Minolta Camera Corporation Photoelectric oximeter
US4066068A (en) 1974-11-28 1978-01-03 Servo Med Ab Method and apparatus for determining the amount of a substance emitted by diffusion from a surface such as a derm surface
US4364008A (en) 1980-10-02 1982-12-14 Jacques Steven L Focusing probe for moisture measurement device
US4711244A (en) 1981-12-17 1987-12-08 American Cyanamid Company Digital moisture dermatometer
US4723554A (en) 1984-04-27 1988-02-09 Massachusetts Institute Of Technology Skin pallor and blush monitor
US4805623A (en) 1987-09-04 1989-02-21 Vander Corporation Spectrophotometric method for quantitatively determining the concentration of a dilute component in a light- or other radiation-scattering environment
US4850365A (en) 1988-03-14 1989-07-25 Futrex, Inc. Near infrared apparatus and method for determining percent fat in a body
US4860753A (en) 1987-11-04 1989-08-29 The Gillette Company Monitoring apparatus
US4883055A (en) 1988-03-11 1989-11-28 Puritan-Bennett Corporation Artificially induced blood pulse for use with a pulse oximeter
US4907594A (en) 1987-07-18 1990-03-13 Nicolay Gmbh Method for the determination of the saturation of the blood of a living organism with oxygen and electronic circuit for performing this method
US5057695A (en) 1988-12-19 1991-10-15 Otsuka Electronics Co., Ltd. Method of and apparatus for measuring the inside information of substance with the use of light scattering
US5086781A (en) 1989-11-14 1992-02-11 Bookspan Mark A Bioelectric apparatus for monitoring body fluid compartments
US5111817A (en) 1988-12-29 1992-05-12 Medical Physics, Inc. Noninvasive system and method for enhanced arterial oxygen saturation determination and arterial blood pressure monitoring
US5146091A (en) 1990-04-19 1992-09-08 Inomet, Inc. Body fluid constituent measurement utilizing an interference pattern
US5224478A (en) 1989-11-25 1993-07-06 Colin Electronics Co., Ltd. Reflecting-type oxymeter probe
WO1993013706A2 (en) 1992-01-17 1993-07-22 The Government Of The United States Of America, As Represented By The Secretary Of The Department Of Health And Human Services Optical method for monitoring arterial blood hematocrit
US5277181A (en) 1991-12-12 1994-01-11 Vivascan Corporation Noninvasive measurement of hematocrit and hemoglobin content by differential optical analysis
US5279295A (en) 1989-11-23 1994-01-18 U.S. Philips Corporation Non-invasive oximeter arrangement
US5282467A (en) 1992-08-13 1994-02-01 Duke University Non-invasive method for detecting deep venous thrombosis in the human body
US5337937A (en) 1991-10-18 1994-08-16 United States Surgical Corporation Surgical stapling apparatus
US5337745A (en) 1992-03-10 1994-08-16 Benaron David A Device and method for in vivo qualitative or quantative measurement of blood chromophore concentration using blood pulse spectrophotometry
US5348004A (en) 1993-03-31 1994-09-20 Nellcor Incorporated Electronic processor for pulse oximeter
US5355880A (en) 1992-07-06 1994-10-18 Sandia Corporation Reliable noninvasive measurement of blood gases
US5377674A (en) 1992-05-08 1995-01-03 Kuestner; J. Todd Method for non-invasive and in-vitro hemoglobin concentration measurement
FR2710517B1 (en) 1993-09-27 1995-12-22 Dior Christian Parfums Method for evaluating the state of hydration of the skin and apparatus intended for its implementation.
US5499627A (en) 1990-10-06 1996-03-19 In-Line Diagnostics Corporation System for noninvasive hematocrit monitoring
US5615689A (en) 1994-12-12 1997-04-01 St. Luke's-Roosevelt Hospital Method of predicting body cell mass using bioimpedance analysis
US5687721A (en) 1992-12-15 1997-11-18 Kuhls; Burkhard Measurement device for non-invasively determining the concentration of polarising substances
US5701902A (en) 1994-09-14 1997-12-30 Cedars-Sinai Medical Center Spectroscopic burn injury evaluation apparatus and method
US5720284A (en) 1995-03-31 1998-02-24 Nihon Kohden Corporation Apparatus for measuring hemoglobin
US5735284A (en) 1992-06-24 1998-04-07 N.I. Medical Ltd. Method and system for non-invasive determination of the main cardiorespiratory parameters of the human body
US5747789A (en) 1993-12-01 1998-05-05 Dynamics Imaging, Inc. Method for investigation of distribution of physiological components in human body tissues and apparatus for its realization
US5755672A (en) 1995-11-30 1998-05-26 Moritex Corporation Measuring equipment of fat and water amount existing on the object
US5788643A (en) 1997-04-22 1998-08-04 Zymed Medical Instrumentation, Inc. Process for monitoring patients with chronic congestive heart failure
US5827181A (en) 1995-09-07 1998-10-27 Hewlett-Packard Co. Noninvasive blood chemistry measurement method and system
US5833602A (en) 1993-09-20 1998-11-10 Osemwota; Omoigui Process of continuous noninvasive hemometry
US5853364A (en) 1995-08-07 1998-12-29 Nellcor Puritan Bennett, Inc. Method and apparatus for estimating physiological parameters using model-based adaptive filtering
US5860919A (en) 1995-06-07 1999-01-19 Masimo Corporation Active pulse blood constituent monitoring method
US5906582A (en) 1994-09-14 1999-05-25 Seiko Epson Corporation Organism information measuring method and arm wear type pulse-wave measuring method
US6064898A (en) 1998-09-21 2000-05-16 Essential Medical Devices Non-invasive blood component analyzer
US6125297A (en) 1998-02-06 2000-09-26 The United States Of America As Represented By The United States National Aeronautics And Space Administration Body fluids monitor
US6149591A (en) 1997-02-21 2000-11-21 Duke University Refractometric devices especially adapted for the in vivo detection of refractive indices of cervical mucus
WO2000071025A1 (en) 1999-05-22 2000-11-30 Infralytic Gmbh Method and device for measuring the degree of organization of water in human and animal bodies
US6178342B1 (en) 1993-09-09 2001-01-23 Vasamedics Surface perfusion pressure monitoring system
WO2001016577A1 (en) 1999-08-31 2001-03-08 Cme Telemetrix Inc. Method for determination of analytes using nir, adjacent visible spectrum and discrete nir wavelengths
US6222189B1 (en) 1992-07-15 2001-04-24 Optix, Lp Methods of enhancing optical signals by mechanical manipulation in non-invasive testing
US6246894B1 (en) 1993-02-01 2001-06-12 In-Line Diagnostics Corporation System and method for measuring blood urea nitrogen, blood osmolarity, plasma free hemoglobin and tissue water content
US6280396B1 (en) 1998-08-03 2001-08-28 American Weights And Measures Apparatus and method for measuring body composition
US6336044B1 (en) 1998-09-11 2002-01-01 Futrex Inc. Reliable body fat measurement in self-service health parameter Measuring system
EP1184663A2 (en) 2000-09-01 2002-03-06 Spectron Tech Co., Ltd. Method and apparatus for measuring skin moisture
US6370426B1 (en) 1999-04-20 2002-04-09 Nova Technology Corporation Method and apparatus for measuring relative hydration of a substrate
US6400971B1 (en) 1999-10-12 2002-06-04 Orsense Ltd. Optical device for non-invasive measurement of blood-related signals and a finger holder therefor
US6402690B1 (en) 1999-04-23 2002-06-11 Massachusetts Institute Of Technology Isolating ring sensor design
US6442408B1 (en) 1999-07-22 2002-08-27 Instrumentation Metrics, Inc. Method for quantification of stratum corneum hydration using diffuse reflectance spectroscopy
US6466807B1 (en) 1997-08-12 2002-10-15 Abbott Laboratories Optical glucose detector
US6488677B1 (en) 2001-05-10 2002-12-03 Thermal Technologies, Inc. System for quantifying edema
US6512936B1 (en) 1999-07-22 2003-01-28 Sensys Medical, Inc. Multi-tier method of classifying sample spectra for non-invasive blood analyte prediction
US20030060693A1 (en) 1999-07-22 2003-03-27 Monfre Stephen L. Apparatus and method for quantification of tissue hydration using diffuse reflectance spectroscopy
US20030060692A1 (en) 2001-08-03 2003-03-27 Timothy L. Ruchti Intelligent system for detecting errors and determining failure modes in noninvasive measurement of blood and tissue analytes
US6591122B2 (en) 2001-03-16 2003-07-08 Nellcor Puritan Bennett Incorporated Device and method for monitoring body fluid and electrolyte disorders
US6592574B1 (en) 1999-07-28 2003-07-15 Visx, Incorporated Hydration and topography tissue measurements for laser sculpting
US6600946B1 (en) 2000-08-11 2003-07-29 The Boeing Company Methods and apparatus for quantifying dermal hydration
US6606509B2 (en) 2001-03-16 2003-08-12 Nellcor Puritan Bennett Incorporated Method and apparatus for improving the accuracy of noninvasive hematocrit measurements
US6636759B2 (en) 1998-10-29 2003-10-21 Inlight Solutions, Inc. Apparatus and method for determination of the adequacy of dialysis by non-invasive near-infrared spectroscopy
US6635491B1 (en) 2000-07-28 2003-10-21 Abbott Labortories Method for non-invasively determining the concentration of an analyte by compensating for the effect of tissue hydration
US6643543B2 (en) 2000-08-01 2003-11-04 Tanita Corporation Body water amount condition judging apparatus by multi-frequency bioelectric impedance measurement
US6654620B2 (en) 1998-05-18 2003-11-25 Abbott Laboratories Method for improving non-invasive determination of the concentration of analytes in a biological sample
JP2004081427A (en) 2002-08-26 2004-03-18 Kenji Yoshikawa Apparatus for measuring water content in living body
US20040127777A1 (en) 2001-01-26 2004-07-01 Ruchti Timothy L. Indirect measurement of tissue analytes through tissue properties
US20040147034A1 (en) 2001-08-14 2004-07-29 Gore Jay Prabhakar Method and apparatus for measuring a substance in a biological sample
US6777240B2 (en) 2000-02-10 2004-08-17 Sensys Medical, Inc. Intra-serum and intra-gel for modeling human skin tissue
US20040230106A1 (en) * 2001-03-16 2004-11-18 Nellcor Puritan Bennett Incorporated Device and method for monitoring body fluid and electrolyte disorders
US6849046B1 (en) 1999-09-23 2005-02-01 Elazar Eyal-Bickels System and method for detecting the state of hydration of a living specimen
US6873865B2 (en) 1998-02-05 2005-03-29 Hema Metrics, Inc. Method and apparatus for non-invasive blood constituent monitoring
US20050203357A1 (en) 2004-03-09 2005-09-15 Nellcor Puritan Bennett Incorporated Pulse oximetry motion artifact rejection using near infrared absorption by water
US6950699B1 (en) 2001-12-12 2005-09-27 Brain Child Foundation Water content probe
US6961598B2 (en) 2002-02-22 2005-11-01 Masimo Corporation Pulse and active pulse spectraphotometry
US20050267346A1 (en) 2004-01-30 2005-12-01 3Wave Optics, Llc Non-invasive blood component measurement system
US20060167350A1 (en) 2005-01-27 2006-07-27 Monfre Stephen L Multi-tier method of developing localized calibration models for non-invasive blood analyte prediction
US20060253016A1 (en) 2001-03-16 2006-11-09 R Baker Clark Jr Systems and methods to assess one or more body fluid metrics
US20060276696A1 (en) 2004-08-11 2006-12-07 Glucolight Corporation Methods for noninvasively measuring analyte levels in a subject
US20070032711A1 (en) 2005-08-08 2007-02-08 Joseph Coakley Medical sensor and technique for using the same
US20070032713A1 (en) 2005-08-08 2007-02-08 Darius Eghbal Medical sensor and technique for using the same
US20070032716A1 (en) 2005-08-08 2007-02-08 William Raridan Medical sensor having a deformable region and technique for using the same
US20070073125A1 (en) 2005-09-29 2007-03-29 Carine Hoarau Medical sensor for reducing motion artifacts and technique for using the same
US20070073122A1 (en) 2005-09-29 2007-03-29 Carine Hoarau Medical sensor and technique for using the same
US20070073123A1 (en) 2005-09-29 2007-03-29 Raridan William B Jr Medical sensor and technique for using the same
US20070078311A1 (en) 2005-03-01 2007-04-05 Ammar Al-Ali Disposable multiple wavelength optical sensor
US20070078309A1 (en) 2005-09-30 2007-04-05 Matlock George L Optically aligned pulse oximetry sensor and technique for using the same
US7211043B2 (en) * 2001-11-07 2007-05-01 L' Oreal Method, system and device for evaluating skin type
US7283242B2 (en) 2003-04-11 2007-10-16 Thornton Robert L Optical spectroscopy apparatus and method for measurement of analyte concentrations or other such species in a specimen employing a semiconductor laser-pumped, small-cavity fiber laser
US20070260129A1 (en) 2006-05-02 2007-11-08 Chin Rodney P Medical sensor and technique for using the same
US20070260130A1 (en) 2006-05-02 2007-11-08 Chin Rodney P Medical sensor and technique for using the same
US20070260131A1 (en) 2006-05-02 2007-11-08 Chin Rodney P Clip-style medical sensor and technique for using the same
US20070282178A1 (en) 2006-04-12 2007-12-06 Weinmann Gerate Fur Medizin Gmbh & Co. Kg Method and device for the identification of at least one substance of content of a body fluid
US20070282183A1 (en) 2006-04-12 2007-12-06 Weinmann Gerate Fur Medizin Gmbh & Co. Kg Method and device for the identification of at least two substances of content of a body fluid
US20080004513A1 (en) 2006-06-30 2008-01-03 Walker Stephen D VCSEL Tissue Spectrometer
US20080058622A1 (en) 2006-08-22 2008-03-06 Baker Clark R Medical sensor for reducing signal artifacts and technique for using the same
US7343186B2 (en) 2004-07-07 2008-03-11 Masimo Laboratories, Inc. Multi-wavelength physiological monitor
US20080076981A1 (en) 2006-09-22 2008-03-27 Nellcor Puritan Bennett Incorporated Medical sensor for reducing signal artifacts and technique for using the same
US20080076994A1 (en) 2006-09-22 2008-03-27 Nellcor Puritan Bennett Incorporated Medical sensor for reducing signal artifacts and technique for using the same
US20080076995A1 (en) 2006-09-22 2008-03-27 Nellcor Puritan Bennett Incorporated Medical sensor for reducing signal artifacts and technique for using the same

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4805365A (en) * 1987-12-10 1989-02-21 Hamilton Industries, Inc. Corner post assembly
US5222189A (en) * 1989-01-27 1993-06-22 Dolby Laboratories Licensing Corporation Low time-delay transform coder, decoder, and encoder/decoder for high-quality audio
JPH04142190A (en) * 1990-10-03 1992-05-15 Hitachi Ltd Video signal processor
US5246894A (en) * 1991-03-29 1993-09-21 Tokai Carbon Co., Ltd. Silicon carbide reinforced composite material
IT224458Z2 (en) * 1991-06-25 1996-04-30 Mariplast Spa CONE FOR DYEING
US20010041829A1 (en) * 2000-01-12 2001-11-15 Suresh Thennadil Non-invasive method of determining skin thickness and characterizing layers of skin tissue in vivo
AU2001275366A1 (en) * 2000-06-15 2001-12-24 Instrumentation Metrics, Inc. Classification and screening of test subjects according to optical thickness of skin
US6446807B1 (en) * 2000-11-24 2002-09-10 3088081 Canada, Inc. Assembly of modular containers for handling, transporting and storing microscope specimen slides

Patent Citations (122)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3998550A (en) 1974-10-14 1976-12-21 Minolta Camera Corporation Photoelectric oximeter
US4066068A (en) 1974-11-28 1978-01-03 Servo Med Ab Method and apparatus for determining the amount of a substance emitted by diffusion from a surface such as a derm surface
US4364008A (en) 1980-10-02 1982-12-14 Jacques Steven L Focusing probe for moisture measurement device
US4711244A (en) 1981-12-17 1987-12-08 American Cyanamid Company Digital moisture dermatometer
US4723554A (en) 1984-04-27 1988-02-09 Massachusetts Institute Of Technology Skin pallor and blush monitor
US4907594A (en) 1987-07-18 1990-03-13 Nicolay Gmbh Method for the determination of the saturation of the blood of a living organism with oxygen and electronic circuit for performing this method
US4805623A (en) 1987-09-04 1989-02-21 Vander Corporation Spectrophotometric method for quantitatively determining the concentration of a dilute component in a light- or other radiation-scattering environment
US4860753A (en) 1987-11-04 1989-08-29 The Gillette Company Monitoring apparatus
US4883055A (en) 1988-03-11 1989-11-28 Puritan-Bennett Corporation Artificially induced blood pulse for use with a pulse oximeter
US4850365A (en) 1988-03-14 1989-07-25 Futrex, Inc. Near infrared apparatus and method for determining percent fat in a body
US5057695A (en) 1988-12-19 1991-10-15 Otsuka Electronics Co., Ltd. Method of and apparatus for measuring the inside information of substance with the use of light scattering
US5111817A (en) 1988-12-29 1992-05-12 Medical Physics, Inc. Noninvasive system and method for enhanced arterial oxygen saturation determination and arterial blood pressure monitoring
US5086781A (en) 1989-11-14 1992-02-11 Bookspan Mark A Bioelectric apparatus for monitoring body fluid compartments
US5279295A (en) 1989-11-23 1994-01-18 U.S. Philips Corporation Non-invasive oximeter arrangement
US5224478A (en) 1989-11-25 1993-07-06 Colin Electronics Co., Ltd. Reflecting-type oxymeter probe
US5146091A (en) 1990-04-19 1992-09-08 Inomet, Inc. Body fluid constituent measurement utilizing an interference pattern
US6687519B2 (en) 1990-10-06 2004-02-03 Hema Metrics, Inc. System and method for measuring blood urea nitrogen, blood osmolarity, plasma free hemoglobin and tissue water content
US5803908A (en) 1990-10-06 1998-09-08 In-Line Diagnostics Corporation System for noninvasive hematocrit monitoring
US20010020122A1 (en) 1990-10-06 2001-09-06 Steuer Robert R. System and method for measuring blood urea nitrogen, blood osmolarity, plasma free hemoglobin and tissue water content
US5499627A (en) 1990-10-06 1996-03-19 In-Line Diagnostics Corporation System for noninvasive hematocrit monitoring
US5337937A (en) 1991-10-18 1994-08-16 United States Surgical Corporation Surgical stapling apparatus
US5277181A (en) 1991-12-12 1994-01-11 Vivascan Corporation Noninvasive measurement of hematocrit and hemoglobin content by differential optical analysis
WO1993013706A2 (en) 1992-01-17 1993-07-22 The Government Of The United States Of America, As Represented By The Secretary Of The Department Of Health And Human Services Optical method for monitoring arterial blood hematocrit
US5337745A (en) 1992-03-10 1994-08-16 Benaron David A Device and method for in vivo qualitative or quantative measurement of blood chromophore concentration using blood pulse spectrophotometry
US5377674A (en) 1992-05-08 1995-01-03 Kuestner; J. Todd Method for non-invasive and in-vitro hemoglobin concentration measurement
US5735284A (en) 1992-06-24 1998-04-07 N.I. Medical Ltd. Method and system for non-invasive determination of the main cardiorespiratory parameters of the human body
US5355880A (en) 1992-07-06 1994-10-18 Sandia Corporation Reliable noninvasive measurement of blood gases
US6222189B1 (en) 1992-07-15 2001-04-24 Optix, Lp Methods of enhancing optical signals by mechanical manipulation in non-invasive testing
US5282467A (en) 1992-08-13 1994-02-01 Duke University Non-invasive method for detecting deep venous thrombosis in the human body
US5687721A (en) 1992-12-15 1997-11-18 Kuhls; Burkhard Measurement device for non-invasively determining the concentration of polarising substances
US6246894B1 (en) 1993-02-01 2001-06-12 In-Line Diagnostics Corporation System and method for measuring blood urea nitrogen, blood osmolarity, plasma free hemoglobin and tissue water content
US5348004A (en) 1993-03-31 1994-09-20 Nellcor Incorporated Electronic processor for pulse oximeter
US6178342B1 (en) 1993-09-09 2001-01-23 Vasamedics Surface perfusion pressure monitoring system
US5833602A (en) 1993-09-20 1998-11-10 Osemwota; Omoigui Process of continuous noninvasive hemometry
FR2710517B1 (en) 1993-09-27 1995-12-22 Dior Christian Parfums Method for evaluating the state of hydration of the skin and apparatus intended for its implementation.
US5747789A (en) 1993-12-01 1998-05-05 Dynamics Imaging, Inc. Method for investigation of distribution of physiological components in human body tissues and apparatus for its realization
US5701902A (en) 1994-09-14 1997-12-30 Cedars-Sinai Medical Center Spectroscopic burn injury evaluation apparatus and method
US5906582A (en) 1994-09-14 1999-05-25 Seiko Epson Corporation Organism information measuring method and arm wear type pulse-wave measuring method
US5615689A (en) 1994-12-12 1997-04-01 St. Luke's-Roosevelt Hospital Method of predicting body cell mass using bioimpedance analysis
US5720284A (en) 1995-03-31 1998-02-24 Nihon Kohden Corporation Apparatus for measuring hemoglobin
US5860919A (en) 1995-06-07 1999-01-19 Masimo Corporation Active pulse blood constituent monitoring method
US5853364A (en) 1995-08-07 1998-12-29 Nellcor Puritan Bennett, Inc. Method and apparatus for estimating physiological parameters using model-based adaptive filtering
US5827181A (en) 1995-09-07 1998-10-27 Hewlett-Packard Co. Noninvasive blood chemistry measurement method and system
US5755672A (en) 1995-11-30 1998-05-26 Moritex Corporation Measuring equipment of fat and water amount existing on the object
US6149591A (en) 1997-02-21 2000-11-21 Duke University Refractometric devices especially adapted for the in vivo detection of refractive indices of cervical mucus
US5788643A (en) 1997-04-22 1998-08-04 Zymed Medical Instrumentation, Inc. Process for monitoring patients with chronic congestive heart failure
US6466807B1 (en) 1997-08-12 2002-10-15 Abbott Laboratories Optical glucose detector
US6873865B2 (en) 1998-02-05 2005-03-29 Hema Metrics, Inc. Method and apparatus for non-invasive blood constituent monitoring
US6125297A (en) 1998-02-06 2000-09-26 The United States Of America As Represented By The United States National Aeronautics And Space Administration Body fluids monitor
US6654620B2 (en) 1998-05-18 2003-11-25 Abbott Laboratories Method for improving non-invasive determination of the concentration of analytes in a biological sample
US6280396B1 (en) 1998-08-03 2001-08-28 American Weights And Measures Apparatus and method for measuring body composition
US6336044B1 (en) 1998-09-11 2002-01-01 Futrex Inc. Reliable body fat measurement in self-service health parameter Measuring system
US6064898A (en) 1998-09-21 2000-05-16 Essential Medical Devices Non-invasive blood component analyzer
US6615064B1 (en) 1998-09-21 2003-09-02 Essential Medical Devices, Inc. Non-invasive blood component analyzer
US6636759B2 (en) 1998-10-29 2003-10-21 Inlight Solutions, Inc. Apparatus and method for determination of the adequacy of dialysis by non-invasive near-infrared spectroscopy
US6370426B1 (en) 1999-04-20 2002-04-09 Nova Technology Corporation Method and apparatus for measuring relative hydration of a substrate
US6402690B1 (en) 1999-04-23 2002-06-11 Massachusetts Institute Of Technology Isolating ring sensor design
WO2000071025A1 (en) 1999-05-22 2000-11-30 Infralytic Gmbh Method and device for measuring the degree of organization of water in human and animal bodies
US20030060693A1 (en) 1999-07-22 2003-03-27 Monfre Stephen L. Apparatus and method for quantification of tissue hydration using diffuse reflectance spectroscopy
US6512936B1 (en) 1999-07-22 2003-01-28 Sensys Medical, Inc. Multi-tier method of classifying sample spectra for non-invasive blood analyte prediction
US6442408B1 (en) 1999-07-22 2002-08-27 Instrumentation Metrics, Inc. Method for quantification of stratum corneum hydration using diffuse reflectance spectroscopy
US6675029B2 (en) 1999-07-22 2004-01-06 Sensys Medical, Inc. Apparatus and method for quantification of tissue hydration using diffuse reflectance spectroscopy
US6592574B1 (en) 1999-07-28 2003-07-15 Visx, Incorporated Hydration and topography tissue measurements for laser sculpting
WO2001016577A1 (en) 1999-08-31 2001-03-08 Cme Telemetrix Inc. Method for determination of analytes using nir, adjacent visible spectrum and discrete nir wavelengths
US6849046B1 (en) 1999-09-23 2005-02-01 Elazar Eyal-Bickels System and method for detecting the state of hydration of a living specimen
US6400971B1 (en) 1999-10-12 2002-06-04 Orsense Ltd. Optical device for non-invasive measurement of blood-related signals and a finger holder therefor
US6777240B2 (en) 2000-02-10 2004-08-17 Sensys Medical, Inc. Intra-serum and intra-gel for modeling human skin tissue
US6635491B1 (en) 2000-07-28 2003-10-21 Abbott Labortories Method for non-invasively determining the concentration of an analyte by compensating for the effect of tissue hydration
US6643543B2 (en) 2000-08-01 2003-11-04 Tanita Corporation Body water amount condition judging apparatus by multi-frequency bioelectric impedance measurement
US6600946B1 (en) 2000-08-11 2003-07-29 The Boeing Company Methods and apparatus for quantifying dermal hydration
EP1184663A2 (en) 2000-09-01 2002-03-06 Spectron Tech Co., Ltd. Method and apparatus for measuring skin moisture
US6668181B2 (en) 2000-09-25 2003-12-23 Sensys Medical, Inc. Method for quantification of stratum corneum hydration using diffuse reflectance spectroscopy
US20040127777A1 (en) 2001-01-26 2004-07-01 Ruchti Timothy L. Indirect measurement of tissue analytes through tissue properties
US6591122B2 (en) 2001-03-16 2003-07-08 Nellcor Puritan Bennett Incorporated Device and method for monitoring body fluid and electrolyte disorders
US20060020181A1 (en) 2001-03-16 2006-01-26 Schmitt Joseph M Device and method for monitoring body fluid and electrolyte disorders
US20030220548A1 (en) 2001-03-16 2003-11-27 Mallinckrodt Inc. Device and method for monitoring body fluid and electrolyte disorders
US20060253016A1 (en) 2001-03-16 2006-11-09 R Baker Clark Jr Systems and methods to assess one or more body fluid metrics
US6606509B2 (en) 2001-03-16 2003-08-12 Nellcor Puritan Bennett Incorporated Method and apparatus for improving the accuracy of noninvasive hematocrit measurements
US20040230106A1 (en) * 2001-03-16 2004-11-18 Nellcor Puritan Bennett Incorporated Device and method for monitoring body fluid and electrolyte disorders
US20060084864A1 (en) 2001-03-16 2006-04-20 Schmitt Joseph M Device and method for monitoring body fluid and electrolyte disorders
US6488677B1 (en) 2001-05-10 2002-12-03 Thermal Technologies, Inc. System for quantifying edema
US20030060692A1 (en) 2001-08-03 2003-03-27 Timothy L. Ruchti Intelligent system for detecting errors and determining failure modes in noninvasive measurement of blood and tissue analytes
US20040147034A1 (en) 2001-08-14 2004-07-29 Gore Jay Prabhakar Method and apparatus for measuring a substance in a biological sample
US7211043B2 (en) * 2001-11-07 2007-05-01 L' Oreal Method, system and device for evaluating skin type
US6950699B1 (en) 2001-12-12 2005-09-27 Brain Child Foundation Water content probe
US6961598B2 (en) 2002-02-22 2005-11-01 Masimo Corporation Pulse and active pulse spectraphotometry
US20060052680A1 (en) 2002-02-22 2006-03-09 Diab Mohamed K Pulse and active pulse spectraphotometry
JP2004081427A (en) 2002-08-26 2004-03-18 Kenji Yoshikawa Apparatus for measuring water content in living body
US7283242B2 (en) 2003-04-11 2007-10-16 Thornton Robert L Optical spectroscopy apparatus and method for measurement of analyte concentrations or other such species in a specimen employing a semiconductor laser-pumped, small-cavity fiber laser
US20050267346A1 (en) 2004-01-30 2005-12-01 3Wave Optics, Llc Non-invasive blood component measurement system
US20050203357A1 (en) 2004-03-09 2005-09-15 Nellcor Puritan Bennett Incorporated Pulse oximetry motion artifact rejection using near infrared absorption by water
US7277741B2 (en) 2004-03-09 2007-10-02 Nellcor Puritan Bennett Incorporated Pulse oximetry motion artifact rejection using near infrared absorption by water
US7343186B2 (en) 2004-07-07 2008-03-11 Masimo Laboratories, Inc. Multi-wavelength physiological monitor
US20080154104A1 (en) 2004-07-07 2008-06-26 Masimo Laboratories, Inc. Multi-Wavelength Physiological Monitor
US20060276696A1 (en) 2004-08-11 2006-12-07 Glucolight Corporation Methods for noninvasively measuring analyte levels in a subject
US20060167350A1 (en) 2005-01-27 2006-07-27 Monfre Stephen L Multi-tier method of developing localized calibration models for non-invasive blood analyte prediction
US20070078311A1 (en) 2005-03-01 2007-04-05 Ammar Al-Ali Disposable multiple wavelength optical sensor
US20070032710A1 (en) 2005-08-08 2007-02-08 William Raridan Bi-stable medical sensor and technique for using the same
US20070032712A1 (en) 2005-08-08 2007-02-08 William Raridan Unitary medical sensor assembly and technique for using the same
US20070032707A1 (en) 2005-08-08 2007-02-08 Joseph Coakley Medical sensor and technique for using the same
US20070032716A1 (en) 2005-08-08 2007-02-08 William Raridan Medical sensor having a deformable region and technique for using the same
US20070032709A1 (en) 2005-08-08 2007-02-08 Joseph Coakley Medical sensor and technique for using the same
US20070032713A1 (en) 2005-08-08 2007-02-08 Darius Eghbal Medical sensor and technique for using the same
US20070032711A1 (en) 2005-08-08 2007-02-08 Joseph Coakley Medical sensor and technique for using the same
US20070073125A1 (en) 2005-09-29 2007-03-29 Carine Hoarau Medical sensor for reducing motion artifacts and technique for using the same
US20070073123A1 (en) 2005-09-29 2007-03-29 Raridan William B Jr Medical sensor and technique for using the same
US20070073126A1 (en) 2005-09-29 2007-03-29 Raridan William B Jr Medical sensor and technique for using the same
US20070073128A1 (en) 2005-09-29 2007-03-29 Carine Hoarau Medical sensor for reducing motion artifacts and technique for using the same
US20070073122A1 (en) 2005-09-29 2007-03-29 Carine Hoarau Medical sensor and technique for using the same
US20070078309A1 (en) 2005-09-30 2007-04-05 Matlock George L Optically aligned pulse oximetry sensor and technique for using the same
US20070282178A1 (en) 2006-04-12 2007-12-06 Weinmann Gerate Fur Medizin Gmbh & Co. Kg Method and device for the identification of at least one substance of content of a body fluid
US20070282183A1 (en) 2006-04-12 2007-12-06 Weinmann Gerate Fur Medizin Gmbh & Co. Kg Method and device for the identification of at least two substances of content of a body fluid
US20070260129A1 (en) 2006-05-02 2007-11-08 Chin Rodney P Medical sensor and technique for using the same
US20070260130A1 (en) 2006-05-02 2007-11-08 Chin Rodney P Medical sensor and technique for using the same
US20070260131A1 (en) 2006-05-02 2007-11-08 Chin Rodney P Clip-style medical sensor and technique for using the same
US20080004513A1 (en) 2006-06-30 2008-01-03 Walker Stephen D VCSEL Tissue Spectrometer
US20080058622A1 (en) 2006-08-22 2008-03-06 Baker Clark R Medical sensor for reducing signal artifacts and technique for using the same
US20080076981A1 (en) 2006-09-22 2008-03-27 Nellcor Puritan Bennett Incorporated Medical sensor for reducing signal artifacts and technique for using the same
US20080076994A1 (en) 2006-09-22 2008-03-27 Nellcor Puritan Bennett Incorporated Medical sensor for reducing signal artifacts and technique for using the same
US20080076980A1 (en) 2006-09-22 2008-03-27 Nellcor Puritan Bennett Incorporated Medical sensor for reducing signal artifacts and technique for using the same
US20080076996A1 (en) 2006-09-22 2008-03-27 Nellcor Puritan Bennett Incorporated Medical sensor for reducing signal artifacts and technique for using the same
US20080076995A1 (en) 2006-09-22 2008-03-27 Nellcor Puritan Bennett Incorporated Medical sensor for reducing signal artifacts and technique for using the same

Non-Patent Citations (49)

* Cited by examiner, † Cited by third party
Title
Arimoto et al., "Non-contact skin moisture measurement based on near-infrared spectroscopy", Applied Spectroscopy, 58(12):1439-1445 (2004).
Attas, E. Michael, et al., "Near-IR Spectroscopic Imaging for Skin Hydration: The Long and the Short of It," Biopolymers, vol. 67, No. 2, pp. 96-106 (2002).
Attas, M. et al., "Long-Wavelength Near-Infrared Spectroscopic Imaging for In-Vivo Skin Hydration Measurements," Vibrational spectroscopy (Feb. 28, 2002), vol. 28, No. 1, p. 37-43.
Attas, Michael, et al., "Visualization of cutaneous hemoglobin oxygenation and skin hydration using near-infrared spectroscopic imaging," Skin Research and Technology, vol. 7, pp. 238-245, (2001).
Bommannan, D., et al., "Examination of Stratum Corneum Barrier Function in Vivo by Infrared Spectroscopy," J. Invest Dermatol, vol. 95, pp. 403-408 (1990).
Bouwstra, Joke A., et al., "Water Distribution and Related Morphology in Human Stratum Corneum at Different Hydration Levels," J. Invest Dermatol, vol. 150, pp. 750-758 (2003).
Buijs, K., et al., "Near-Infrared Studies of the Structure of Water. I. Pure Water," The Journal of Chemical Physics, vol. 39, No. 8, pp. 2035-2041 (Oct. 15, 1963).
Du, Y., et al., "Optical properties of porcine skin dermis between 900 nm and 1500 nm," Phys. Med. Biol., vol. 46, pp. 167-181 (2001).
Edwardson, P. et al., "The Use of FT-IR for the Determination of Stratum Corneum Hydration in Vitro and in Vivo," J. of Pharmaceutical & Biomed. Analysis, vol. 9, Nos. 10-12, pp. 1089-1094, 1991.
Egawa, Mariko et al., "Regional Difference of Water Content in Human Skin Studied by Diffuse-Reflectance Near-Infrared Spectroscopy: Consideration of Measurement Depth," Applied Spectrometry, vol. 60, No. 1, 2006.
Fornetti, Willa C., et al., "Reliability and validity of body composition measures in female athletes," Journal of Applied Physiology, vol. 87, pp. 1114-1122, (1999).
Grandjean et al., "Hydration: issues for the 21st century", Nutrition Reviews, 61(8):261-271 (2003).
Heise, H.M., et al., "Reflectance spectroscopy can quantify cutaneous haemoglobin oxygenation by oxygen uptake from the atmosphere after epidermal barrier distruption," Skin Research and Technology, vol. 9, pp. 295-298 (2003).
Horber, F.F., et al., "Impact of hydration status on body composition as measured by dual energy X-ray absorptiometry in normal volunteers and patients on haemodialysis," The British Journal of Radiology, vol. 65, pp. 895-900 (1992).
International Search Report PCT/US2008/003013, 4 pages, mailed Jul. 30, 2008.
Isaksson, Tomas, et al., "Non-Destructive Determination of Fat, Moisture and Protein in Salmon Fillets by Use of Near-Infrared Diffuse Spectroscopy," J. Sci Food Agric., vol. 69, pp. 95-100 (1995).
J. H. Ali, et al.; "Near Infrared Spectroscopy and Imaging to Prove differences in Water content in normal and Cancer Human Prostate Tissues," Technology in Cancer Research & Treatment, vol. 3, No. 5, Oct. 2004; pp. 491-497.
Kalantar-Zadeh, Kamyar, et al., "Near infra-red interactactance for Longitudinal Assessment of Nutrition in Dialysis Patients," Journal of Renal Nutrition, vol. 11, No. 1, pp. 23-31 (Jan. 2001).
Kalantar-Zadeh, Kamyar, et al., "Near infra-red interactance for nutritional assessment of dialysis patients," Nephrol Dial Transplant, vol. 14, pp. 169-175 (1999).
Kasemsumran, Sumaporn, et al., "Simultaneous determination of human serum albumin, gamma-globulin, and glucose in a phosphate buffer solution by near-infrared spectroscopy with moving window partial least-squares regression," Analyst, vol. 128, pp. 1471-1477 (2003).
Kasemsumran, Sumaporn, et al., "Simultaneous determination of human serum albumin, γ-globulin, and glucose in a phosphate buffer solution by near-infrared spectroscopy with moving window partial least-squares regression," Analyst, vol. 128, pp. 1471-1477 (2003).
Kumar, Gitesh, et al., "Non-Invasive Optical Assessment of Tissue Hydration," International conference on Biomedical Engineering, Jun. 3-5, 1996, Hong Kong, pp. C2-C5.
Lever, M., et al., "Some ways of looking at compensatory kosmotropes and different water environments," Comparative Biochemistry and Physiolog., vol. 130, Part A, pp. 471-486, (2001).
Lucassen, G., et al., "Water Content and Water Profiles in Skin Measured by FTIR and Raman Spectroscopy," Proc. SPIE, vol. 4162, pp. 39-45 (2000).
Martens, H., et al., "Unscrambling Multivariate Data from Mixtures: I: Fat, water and protein determination in meat by near-infrared reflectance spectroscopy, II: soy protein and collagen determination in meat products from amino acid data," Meat Res. Workers, Proc. European Meeting, pp. 146-149 (1980).
Martin K, "In Vivo Measurements of Water in Skin by Near-Infrared Reflectance", Applied Spectroscopy, The Society for Applied Spectroscopy, Baltimore, US, vol. 52, No. 7, Jul. 1, 1998.
Martin, K., "Direct Measurement of Moisture in Skin by NIR spectroscopy," J. Soc. Cosmet. Chem., 44:249-261 (1993).
Martin, Kathleen, "In Vivo Measurements of Water in Skin by Near-Infrared Reflectance," Applied Spectroscopy, vol. 52, No. 7, 1998, pp. 1001-1007.
Matcher, S. J., et al., "Absolute quantification of deoxyhaemoglobin concentration in tissue near infrared spectroscopy," Phys. Med. Biol., vol. 39, pp. 1295-1312 (1994).
Meglinski, I.V., et al., "Computer simulation of the skin reflectance spectra," Computer Methods and Programs in Biomedicine, vol. 70, pp. 179-186, (2003).
Meglinski, Igor V., et al., "Quantitative assessment of skin layers absorption and skin reflectance spectra simulation in the visible and near-infrared spectral regions," Physiol. Meas., vol. 23, pp. 741-753, (2002).
Mendelsohn, Richard, et al., "Infrared microspectroscopic imaging maps the spatial distribution of exogenous molecules in skin," Journal of Biomedical Optics, vol. 8, No. 2, pp. 185-190 (Apr. 2003).
Merritt, Sean, et al., "Coregistration of diffuse optical spectroscopy and magnetic resonance imaging in a rat tumor model," Applied Optics, vol. 42, No. 16, pp. 2951-2959 (Jun. 2003).
Potts, R.O., et al., "A Noninvasive, in Vivo Technique to Quantitatively measure Water Concentration of the Stratum Corneum Using Attenuated Total-Reflectance Infrared Spectroscopy," Arch. Dermatol Res., vol. 277, pp. 489-495 (1985).
Schmitt et al., Proc. SPIE, "Measurement of blood hematocrit by dual-wavelength near-IP photoplethysmography," 1641:150-161 (1992).
Schmitt et al., Proc. SPIE, "Optimum wavelengths for measurement of blood hemoglobin content and tissue hydration by NIR spectrophotometry," 2678:442-453 (1996).
Sowa et al., "Near infrared spectroscopic assessment of hemodynamic changes in the early post-burn period," Burns, 27(3):241-9 (2001).
Sowa et al., "Near-infrared spectroscopic assessment of tissue hydration following surgery", Journal of Surgical Research, 86:62-69 (1999).
Stranc, M.F., et al., "Assessment of tissue viability using near-infrared spectroscopy," British Journal of Plastic Surgery, vol. 51, pp. 210-217, (1998).
Takeo, T. et al., "Skin Hydration State Estimation Using a Fiber-Optic Refractometer," Applied Optics, vol. 33, No. 19, Jul. 1994, p. 4267-72.
Troy, Tamara L., et al., "Optical properties of human skin in the near infrared wavelength range of 1000 to 2200nm," Journal of Biomedical Optics, vol. 6, No. 2, pp. 167-176 (Apr. 2001).
U.S. Appl. No. 11/528,154, filed Sep. 27, 2006, Debreczeny et al.
U.S. Appl. No. 11/528,218, filed Sep. 27, 2006, Campbell et al.
U.S. Appl. No. 11/529,024, filed Sep. 28, 2006, Agashe et al.
U.S. Appl. No. 11/541,010, filed Sep. 29, 2006, Baker, Jr. et al.
Valdes, E. V., et al., "Determination of Crude Protein and Fat in Carcass and Breast Muscle Samples of Poultry by Near Infrared Reflectance Spectroscopy," Poultry Science, vol. 65, pp. 485-490 (1986).
Wilhelm, K.P., "Possible Pitfalls in Hydration Measurements," Skin Bioengineering Techniques and Applications in Dermatology and Cosmetology, vol. 26, pp. 223-234 (1998).
Wolf, Martin, et al., "Absolute Frequency-Domain pulse Oximetry of the Brain: Methodology and Measurements," Oxygen Transport to Tissue XXIV, Chapter 7, Dunn and Swartz, Kluwer Academic/Plenum Publishers, pp. 61-73 (2003).
Wolfgang, Arneth, "Multivariate Infrared and near-infrared Spectroscopy: rapid analysis of protein, fat and water in meat," Food Res and Data Analysis, Proc from IUoST Symp, Oslo, Norway, pp. 239-251 (1983).

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100245092A1 (en) * 2009-03-26 2010-09-30 Denver Health and Hospital Authority Back Body Orientation|Head of Bed Elevation (HOBE) Device and Alarm
US8836515B2 (en) * 2009-03-26 2014-09-16 Denver Health and Hospital Authority Flexible head of bed elevation device and alarm
US10206619B1 (en) * 2017-04-28 2019-02-19 Maxim Integrated Products, Inc. Device and method for monitoring body hydration

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